AWS Launches ‘Quick’ AI Assistant to Transform Workplace Productivity
The Quick desktop app is designed to integrate seamlessly with a user’s daily tools, including email, calendars, local files, and workplace applications.
Amazon Web Services (AWS) has unveiled a new desktop application for its AI assistant, Amazon Quick, to help employees navigate fragmented workflows and boost productivity across enterprise environments.
The Quick desktop app is designed to integrate seamlessly with a user’s daily tools, including email, calendars, local files, and workplace applications such as Slack, Microsoft Teams, Salesforce, and Jira.
“Quick is built differently. It lives on your laptop and is connected to everything you do—your local files, calendar, email, and the apps you already use. And where most AI tools only work within their own vendor-specific ecosystem and can only help with a fraction of your work, Quick is built to break you free from those walled gardens,” Jigar Thakkar, AWS VP, Agentic AI for Business, Amazon Quick, wrote in a blog post.
By continuously learning from user activity and organisational data, the assistant builds a personalised understanding of workflows, enabling it to deliver context-aware insights and automate tasks.
AWS said the tool addresses a common workplace challenge where employees spend significant time searching for information across disconnected systems. Unlike traditional AI tools limited to specific ecosystems, Quick operates across platforms, allowing users to retrieve, analyse, and act on data in a single request.
The assistant can automate browser-based workflows, connect with developer tools, and even execute multi-step actions—such as extracting data, running scripts, and generating reports—without requiring users to switch between applications.
A key feature of Quick is its proactive functionality. Running continuously in the background, it monitors workflows and surfaces relevant information before users request it. For example, it can prepare materials ahead of meetings or flag scheduling conflicts and urgent deadlines.
AWS emphasised that while Quick leverages extensive user data to improve performance, it maintains enterprise-grade security and does not use customer data to train external models.
"Now in preview, you can use Quick to create intelligent apps, dashboards, and web pages that are deeply connected to the rest of your business. Just tell it what you need in natural language, and it connects to live data, updates automatically, and creates dashboards in seconds without any coding or complex development processes," Thakkar added.
The launch also includes new capabilities such as generating documents, presentations, and dashboards using natural language prompts, as well as expanded integrations with platforms like Google Workspace, Zoom, and Microsoft 365.
“Amazon Quick has fundamentally changed how we operate—how we make decisions, execute strategies, and respond to opportunities,” said David C. Gregorat, New York Life Insurance Company CTO.
AWS said organisations including 3M and Mondelēz International are already adopting the tool, citing improved efficiency and faster decision-making across teams.
Earlier this month, GitHub introduced AWS Agent Registry in preview, a new service to help enterprises manage, discover, and govern AI agents at scale.
Available through Amazon Bedrock AgentCore, the registry acts as a centralised catalog for AI agents, tools, and related resources across an organisation’s entire technology stack.
